Skip to content
ARCAFF
  • Home
  • Team
    • DIAS
    • UNIGE
    • UoW
    • Sztaki
    • Advisory Board
  • Results
    • data.arcaff.eu
    • PITHIA e-Science Centre
    • SolarMonitor
    • Zenodo
    • GitHub
    • Comet
  • WPs
    • Milestones
    • WP1: Management
    • WP2: Solar Data Sources
    • WP3: Deep Learning
      • Artificial Intelligence
    • WP4: Computing Platform
    • WP5: Dissemination
  • News
    • Publications
    • Presentations
    • Media
  • Education
ARCAFF
  • Home
  • Team
    • DIAS
    • UNIGE
    • UoW
    • Sztaki
    • Advisory Board
  • Results
    • data.arcaff.eu
    • PITHIA e-Science Centre
    • SolarMonitor
    • Zenodo
    • GitHub
    • Comet
  • WPs
    • Milestones
    • WP1: Management
    • WP2: Solar Data Sources
    • WP3: Deep Learning
      • Artificial Intelligence
    • WP4: Computing Platform
    • WP5: Dissemination
  • News
    • Publications
    • Presentations
    • Media
  • Education

Media

RTE News

https://www.rte.ie/news/ireland/2024/0511/1448552-northern-lights

NASA International Space Apps Challenge

Silicon Republic

DIAS turns to advanced AI to better predict space weather

Irish Tech News

https://irishtechnews.ie/irish-space-scientists-ai-forecast-space-weather/

DIAS

https://www.dias.ie/2023/07/06/irish-space-scientists-develop-new-project-using-ai-to-forecast-space-weather

Email

This project received funding from the European Union's HORIZON-CL4-2022-SPACE-01 call (Project ID 101082164).
It's period of performance was December 2022 - March 2026.

 

Copyright © 2026 ARCAFF